Triple
T607046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clouds |
E12016
|
entity |
| Predicate | featuresChorus |
P1369
|
FINISHED |
| Object | Clouds |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Clouds | Statement: [Clouds, featuresChorus, Clouds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresChorus Context triple: [Clouds, featuresChorus, Clouds]
-
A.
hasChorus
chosen
Indicates that something (typically a song or musical piece) includes a chorus section as part of its structure.
-
B.
featuresSupporter
Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
-
C.
featuresCrossoverWith
Indicates that one entity includes or participates in a crossover event or collaboration with another entity.
-
D.
featuresText
Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
-
E.
featuresVocalist
Indicates that one entity (such as a song, track, or performance) includes another entity serving as a vocalist or featured singer.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.